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Bas van Breukelen

dblp:02/7064 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2011
0000-0001-9514-9876ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
proteomics
0.222011
A high-throughput processing service for retention time alignment of complex proteomics and metabolomics LC-MS data · Bioinform. 2011
StatQuant: a post-quantification analysis toolbox for improving quantitative mass spectrometry · Bioinform. 2009
Bioinformatics and computational biology
metabolomics
0.112011
A high-throughput processing service for retention time alignment of complex proteomics and metabolomics LC-MS data · Bioinform. 2011
Bioinformatics and computational biology › metabolomics
retention time alignment
0.112011
A high-throughput processing service for retention time alignment of complex proteomics and metabolomics LC-MS data · Bioinform. 2011

Methods — techniques the papers use, named apart from their topics

statistical filtering · 0.1ratio validation · 0.1
YearPublicationVenuePosition
2011 A high-throughput processing service for retention time alignment of complex proteomics and metabolomics LC-MS data
abstract
UNLABELLED: Warp2D is a novel time alignment approach, which uses the overlapping peak volume of the reference and sample peak lists to correct misleading peak shifts. Here, we present an easy-to-use web interface for high-throughput Warp2D batch processing time alignment service using the Dutch Life Science Grid, reducing processing time from days to hours. This service provides the warping function, the sample chromatogram peak list with adjusted retention times and normalized quality scores based on the sum of overlapping peak volume of all peaks. Heat maps before and after time alignment are created from the arithmetic mean of the sum of overlapping peak area rearranged with hierarchical clustering, allowing the quality control of the time alignment procedure. Taverna workflow and command line tool are provided for remote processing of local user data. AVAILABILITY: online data processing service is available at http://www.nbpp.nl/warp2d.html. Taverna workflow is available at myExperiment with title '2D Time Alignment-Webservice and Workflow' at http://www.myexperiment.org/workflows/1283.html. Command line tool is available at http://www.nbpp.nl/Warp2D_commandline.zip. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Isthiaq Ahmad, Frank Suits, Berend Hoekman, Morris A. Swertz, Heorhiy Byelas, Martijn Dijkstra, Rob W. W. Hooft, Dmitry Katsubo, Bas van Breukelen, Rainer Bischoff 0003, Peter Horvatovich
Bioinform.9
2009 StatQuant: a post-quantification analysis toolbox for improving quantitative mass spectrometry
abstract
MOTIVATION: Mass spectrometric protein quantitation has emerged as a high-throughput tool to yield large amounts of data on peptide and protein abundances. Currently, differential abundance data can be calculated from peptide intensity ratios by several automated quantitation software packages available. There is, however, still a great need for additional processing to validate and refine the quantitation results. Here, we present a software tool, termed StatQuant, that offers a set of statistical tools to process, filter, compare and represent data from several quantitative proteomics software packages such as MSQuant. StatQuant offers the researcher post-processing methods to achieve improved confidence on the obtained protein ratios. AVAILABILITY: StatQuant can be downloaded from: (https://gforge.nbic.nl/projects/statquant/) (binary and source code).
Bas van Breukelen, Henk W. P. van den Toorn, Madalina M. Drugan, Albert J. R. Heck
Bioinform.1